Combined analysis of acoustic emission and vibration signals in monitoring tool wear, surface quality and chip formation when turning SCM440 steel using MQL
- DOI
- 10.21303/2461-4262.2023.002509
- Published
- 2023-01-19
- Container
- EUREKA: Physics and Engineering
- Publisher
- OU Scientific Route
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.21303/2461-4262.2023.002509,
title = {Combined analysis of acoustic emission and vibration signals in monitoring tool wear, surface quality and chip formation when turning SCM440 steel using MQL},
author = {Dung Tien Hoang and Nguyen Van Thien and Thoa Thi Thieu Pham and Trinh Duy Nguyen},
year = {2023},
journal = {EUREKA: Physics and Engineering},
doi = {10.21303/2461-4262.2023.002509},
url = {https://doi.org/10.21303/2461-4262.2023.002509}
}RIS
TY - JOUR TI - Combined analysis of acoustic emission and vibration signals in monitoring tool wear, surface quality and chip formation when turning SCM440 steel using MQL AU - Dung Tien Hoang AU - Nguyen Van Thien AU - Thoa Thi Thieu Pham AU - Trinh Duy Nguyen PY - 2023 JO - EUREKA: Physics and Engineering DO - 10.21303/2461-4262.2023.002509 UR - https://doi.org/10.21303/2461-4262.2023.002509 ER -
APA
Hoang, D. T., Thien, N. V., Pham, T. T. T., & Nguyen, T. D. (2023). Combined analysis of acoustic emission and vibration signals in monitoring tool wear, surface quality and chip formation when turning SCM440 steel using MQL. EUREKA: Physics and Engineering. https://doi.org/10.21303/2461-4262.2023.002509
Source records
- crossref · retrieved 2026-09-27T10:03:42.469Z